Minibus taxis in Addis Ababa – known as the 'blue donkeys' in the Ethiopian capital. Photograph: Adrian Young for the Guardian

Monday 8am: it's peak hour as I approach the roadside. The new Chinese bitumen (asphalt) may have swallowed the potholes of Bole Road, but the traffic is as crazy as ever. Cars weave erratically across five lanes and jostle for space amid the clamour of police whistles, relentless honking, and noisy construction sites. Within a few moments, a minibus taxi swings into view, the conductor shouting "Bole, Bole" through the open window.

The ubiquitous blue and white Toyota HiAce or "blue donkey" is the main form of public transport in the Ethopian capital, Addis Ababa. I jump into the battered van and squeeze between some commuters on to a worn and dusty seat as the driver speeds off. I rummage through my pockets for the 1.5 birr (5p) fare as passengers clamber on and off at regular intervals before we reach the Bole bridge bus terminal.

My next ride takes me to Meganegna, where a crater in the ground marks the future pathway of the light rail system. Here I seek to board another minibus taxi, but there is some confusion as government officials argue with taxi drivers and station co-ordinators over routes and passenger loads. Eventually the dispute is settled and I jump on to the third minibus taxi, which will round off my daily commute ...

The informal minibus taxi network in Addis comprises thousands of independent taxi operators serving a multitude of diverse routes – essentially, unofficial bus routes – and who will often pick up or drop off passengers on an ad hoc basis. The majority of routes consist of short return-journeys, and operators determine which routes and hours they will serve within a zoning system. The result is a demand-driven public transport system that operates without routes maps, timetables or central co-ordination.

The seemingly chaotic nature of this network conceals what is actually a surprisingly adaptive and responsive system. For example, operators can modify routes instantly to avoid construction zones or traffic congestion. In addition, major disruptions are usually confined to individual routes and do not spill over into the rest of the network, due to its web-like composition.

In this way, Addis's minibus taxi network exhibits many of the attributes of a complex-adaptive system. This means it is difficult to predict and control the behaviour of the system and its actors, and not surprising that efforts to regulate the network through promotion of taxi associations, introduction of a zoning system and enforcement of maximum passenger loads have had very mixed results in the face of resistance from operators.

The huge Mercato in Addis Ababa – said to be the largest open air market in Africa. Minibus taxis can navigate all kinds of routes across the city that trains or normal-sized buses could get nowhere near. Photograph: David Levene for the Guardian

The taxi network is of course not without its failings, particularly in regards to passenger safety, environmental sustainability, and meeting commuter demand in off-peak periods. Moreover, the network is struggling to keep up with the public transport needs of this burgeoning African metropolis. In response, the Ethiopian government has invested in the construction of a light rail system to offer an alternative, sustainable transportation option.

The completion of this system will mean a dramatic shift towards a centralised model of public transport for the city. However, it remains to be seen whether these two vastly different modes of public transport can operate side by side – and how such a transformation is going to be effectively managed and coordinated. Especially given the very limited role that public authorities have played to date in the public transport sector.

To successfully amalgamate these two networks, the authorities need to better understand the complex operation dynamics of the minibus taxi network. In particular, they must indentify the strengths and weaknesses of the network and develop appropriate incentive mechanisms to influence the behaviour of its operators. This may require some experimentation to identify the most effective mechanisms, which is an appropriate response when dealing a complex-adaptive system.

Otherwise it is more than likely that chaos and confusion will continue to be the order of the day for the commuters of Addis Ababa.

Adrian Young is author of the Complexia blog and is based in Addis Ababa